TY - JOUR
T1 - Envisioning Device-to-Device Communications in 6G
AU - Zhang, Shangwei
AU - Liu, Jiajia
AU - Guo, Hongzhi
AU - Qi, Mingping
AU - Kato, Nei
N1 - Funding Information:
Acknowledgment This work was supported by the National Natural Science Foundation of China (61771374, 61771373, 61801360, and 61601357); and in part by the Fundamental Research Fund for the Central Universities (3102019PY005, and 310201905200001). references
PY - 2020/5/1
Y1 - 2020/5/1
N2 - To fulfill the requirements of various emerging applications, the future sixth generation (6G) mobile network is expected to be an innately intelligent, highly dynamic, ultradense heterogeneous network that interconnects all things with extremely low-latency and high speed data transmission. It is believed that artificial intelligence (AI) will be the most innovative technique that can achieve intelligent automated network operations, management and maintenance in future complex 6G networks. Driven by AI techniques, device-to-device (D2D) communication will be one of the pieces of the 6G jigsaw puzzle. To construct an efficient implementation of intelligent D2D in future 6G, we outline a number of potential D2D solutions associating with 6G in terms of mobile edge computing, network slicing, and non-orthogonal multiple access (NOMA) cognitive networking.
AB - To fulfill the requirements of various emerging applications, the future sixth generation (6G) mobile network is expected to be an innately intelligent, highly dynamic, ultradense heterogeneous network that interconnects all things with extremely low-latency and high speed data transmission. It is believed that artificial intelligence (AI) will be the most innovative technique that can achieve intelligent automated network operations, management and maintenance in future complex 6G networks. Driven by AI techniques, device-to-device (D2D) communication will be one of the pieces of the 6G jigsaw puzzle. To construct an efficient implementation of intelligent D2D in future 6G, we outline a number of potential D2D solutions associating with 6G in terms of mobile edge computing, network slicing, and non-orthogonal multiple access (NOMA) cognitive networking.
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U2 - 10.1109/MNET.001.1900652
DO - 10.1109/MNET.001.1900652
M3 - Article
AN - SCOPUS:85082557297
VL - 34
SP - 86
EP - 91
JO - IEEE Network
JF - IEEE Network
SN - 0890-8044
IS - 3
M1 - 9048621
ER -